Benchmarking New Zealand's Frontier Firms
Guanyu Zheng, Hoang Minh Duy, Gail Pacheco
IWH-CompNet Discussion Papers,
No. 1,
2021
Abstract
New Zealand has experienced poor productivity performance over the last two decades. Factors often cited as reasons behind this are the small size of the domestic market and distance to international partners and markets. While the distance reason is one that is fairly insurmountable, there are a number of other small advanced economies that also face similar domestic market constraints. This study compares the relative performance of New Zealand’s firms to those economies using novel cross-country microdata from CompNet. We present stylised facts for New Zealand relative to the economies of Belgium, Denmark, Finland, Netherlands and Sweden based on average productivity levels, as well as benchmarking laggard, median and frontier firms. This research also employs an analytical framework of technology diffusion to evaluate the extent of productivity convergence, and the impact of the productivity frontier on non-frontier firm performance. Additionally, both labour and capital resource allocation are compared between New Zealand and the other small advanced economies. Results show that New Zealand’s firms have comparatively low productivity levels and that its frontier firms are not benefiting from the diffusion of best technologies outside the nation. Furthermore, there is evidence of labour misallocation in New Zealand based on less labour-productive firms having disproportionally larger employment shares than their more productive counterparts. Counter-factual analysis illustrates that improving both technology diffusion from abroad toward New Zealand’s frontier firms, and labour allocation across firms within New Zealand will see sizable productivity gains in New Zealand.
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Optimizing Policymakers’ Loss Functions in Crisis Prediction: Before, Within or After?
Peter Sarlin, Gregor von Schweinitz
Macroeconomic Dynamics,
No. 1,
2021
Abstract
Recurring financial instabilities have led policymakers to rely on early-warning models to signal financial vulnerabilities. These models rely on ex-post optimization of signaling thresholds on crisis probabilities accounting for preferences between forecast errors, but come with the crucial drawback of unstable thresholds in recursive estimations. We propose two alternatives for threshold setting with similar or better out-of-sample performance: (i) including preferences in the estimation itself and (ii) setting thresholds ex-ante according to preferences only. Given probabilistic model output, it is intuitive that a decision rule is independent of the data or model specification, as thresholds on probabilities represent a willingness to issue a false alarm vis-à-vis missing a crisis. We provide real-world and simulation evidence that this simplification results in stable thresholds, while keeping or improving on out-of-sample performance. Our solution is not restricted to binary-choice models, but directly transferable to the signaling approach and all probabilistic early-warning models.
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14.10.2020 • 22/2020
Economic slump in East Germany not as severe as in Germany as a whole ‒ Implications of the Joint Economic Forecast and new data for East Germany
The German economy started recovering quickly after the drastic pandemic-related slump in spring 2020. The recovery, however, loses much of its momentum in the second half of the year. The Joint Economic Forecast predicts that production levels seen before the crisis will not be reached again until the second half of 2021. In principle, the East German economy is following this pattern, although the economic slump is likely to be somewhat milder.
Oliver Holtemöller
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Firm Wage Premia, Industrial Relations, and Rent Sharing in Germany
Boris Hirsch, Steffen Müller
ILR Review,
No. 5,
2020
Abstract
The authors use three distinct methods to investigate the influence of industrial relations on firm wage premia in Germany. First, ordinary least squares (OLS) regressions for the firm effects from a two-way fixed-effects decomposition of workers’ wages reveal that average premia are larger in firms bound by collective agreements and in firms with a works council, holding constant firm performance. Next, recentered influence function (RIF) regressions show that premia are less dispersed among covered firms but more dispersed among firms with a works council. Finally, in an Oaxaca–Blinder decomposition, the authors find that decreasing bargaining coverage is the only factor they consider that contributes to the marked rise in premia dispersion over time.
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16.09.2020 • 18/2020
Economy recovers from the shutdown – but a quick return to pre-crisis normality is unlikely
The German economy has bounced back strongly over the summer, recovering a considerable part of the production slump caused by the shutdown in spring. Nevertheless, real gross domestic product in 2020 is likely to contract by 5.7%. In 2021, growth is expected to average 3.2% according to IWH autumn economic forecast. The decline in production in 2020 is likely to be less pronounced in East Germany com¬pared to Germany as a whole.
Oliver Holtemöller
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16.06.2020 • 9/2020
The economy adapts to the pandemic
In the first half of 2020, the pandemic has exacted a heavy toll on the German economy, causing a slump in production that will not be fully recovered within the next year. According to IWH summer economic forecast, gross domestic product is expected to contract by 5.1% in 2020 and to increase by 3.2% in 2021. The decline in production in Eastern Germany is likely to be less pronounced compared to Germany as a whole and estimated at 3.2% in 2020.
Oliver Holtemöller
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Why are some Chinese Firms Failing in the US Capital Markets? A Machine Learning Approach
Gonul Colak, Mengchuan Fu, Iftekhar Hasan
Pacific-Basin Finance Journal,
June
2020
Abstract
We study the market performance of Chinese companies listed in the U.S. stock exchanges using machine learning methods. Predicting the market performance of U.S. listed Chinese firms is a challenging task due to the scarcity of data and the large set of unknown predictors involved in the process. We examine the market performance from three different angles: the underpricing (or short-term market phenomena), the post-issuance stock underperformance (or long-term market phenomena), and the regulatory delistings (IPO failure risk). Using machine learning techniques that can better handle various data problems, we improve on the predictive power of traditional estimations, such as OLS and logit. Our predictive model highlights some novel findings: failed Chinese companies have chosen unreliable U.S. intermediaries when going public, and they tend to suffer from more severe owners-related agency problems.
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Investor Relations and IPO Performance
Salim Chahine, Gonul Colak, Iftekhar Hasan, Mohamad Mazboudi
Review of Accounting Studies,
No. 2,
2020
Abstract
We analyze the value of investor relations (IR) strategies to IPO firms. We find that firms that are less visible and have inexperienced management tend to hire IR consultants prior to the issue date. IR consultants help create positive news coverage before an IPO, as reflected in a more optimistic tone of published media. Their presence is associated with higher underpricing at the IPO date but with lower long-run returns. IR-backed IPOs also exhibit disproportionately higher insider-related agency problems, as IR-induced higher underpricing tends to occur primarily in IPOs where underwriter and venture capitalist agency conflicts are more severe. These findings suggest that the IR programs of IPO firm are mostly short-term oriented and facilitate the ulterior motives of some insiders (underwriters and venture capitalists) targeting higher first-day returns.
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Phillips Curve and Output Expectations: New Perspectives from the Euro Zone
Giuliana Passamani, Alessandro Sardone, Roberto Tamborini
DEM Working Papers,
No. 6,
2020
published in: Empirica
Abstract
When referring to the inflation trends over the last decade, economists speak of "puzzles": a “missing disinflation” puzzle in the aftermath of the Great Recession, and a ”missing inflation” one in the years of recovery to nowadays. To this, a specific "excess deflation" puzzle may be added during the post-crisis depression in the Euro Zone. The standard Phillips Curve model, in this context, has failed as the basic tool to produce reliable forecasts of future price developments, leading many scholars to consider this instrument to be no more adequate. The purpose of this paper is to contribute to this literature through the development of a newly specified Phillips Curve model, in which the inflation-expectation component is rationally related to the business cycle. The model is tested with the Euro Zone data 1999-2019 showing that inflation turns out to be consistently determined by output gaps and and experts' survey-based forecast errors, and that the puzzles can be explained by the interplay between these two variables.
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